> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/introduction-to-deep-reinforcement-learning/project.md).

# Project

In this course you will work on your own Deep Reinforcement Learning Project :tada:

The goal is to implement an RL algorithm in a team from scratch!

You train it to play the game Breakout of the Atari100k benchmark, evaluate its performance and compete with other teams!

We will use the official torch rl library [`torch/rl`](https://docs.pytorch.org/rl/stable/index.html) . You can chose any algorithm that has not already an official implementation!

At the last session every group has to present their choosen algorithm and explain it's key design choises.

{% hint style="success" icon="flask-gear" %}
**Optional**: You can additionaly implement your own environment / evaluate your choosen algorithm on different benchmarks.
{% endhint %}


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